Establishment of short-term forecasting system of sea-ice area assimilating Doppler radar data

建立了一种利用x波段多普勒雷达在不同天气条件下识别海冰的新方法。利用多普勒雷达数据和相互关联法提取的海冰速度，提出了一种新的匹配方法，以获得海冰速度场的高时空水平分布。我们将这些数值同化到日本气象厅网格点值（JMA-GPV）数据中，应用我们的海冰模型对海冰进行了短期预测，并与多普勒雷达数据进行了比较。

We have established a new method to identify sea ice floes by X-band Doppler radar under various weather conditions. Using Doppler radar data and sea-ice velocity extracted from the cross-correlation method, we have developed a new matching method to derive high temporal and spatial horizontal distribution of velocity fields of sea-ice. Assimilating these values into Japan Meteorological Agency Grid Point Value (JMA-GPV) data, we have applied our sea ice model for short-term prediction of sea-ice and have compared the results with the Doppler radar data.